用部分最允许方案完善布尔模型

Nadine Ben Boina, Brigitte Mossé, Anaïs Baudot, Élisabeth Remy
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引用次数: 0

摘要

动机在系统生物学中,建模策略旨在解码分子成分如何相互作用以产生动态行为。布尔建模被越来越多地使用,但两级成分的动态描述可能过于有限,无法捕捉某些动态特性。然而,在布尔模型中,对动力学的描述可能过于有限,无法捕捉某些动力学特性。多值逻辑模型允许每个分量有两个以上的层次,从而克服了这一限制。然而,布尔模型的多值化具有挑战性。结果:我们提出了 MRBM,这是一种有效识别布尔模型中需要多值化的成分的方法,以便捕捉异步动态中的特定定点扩展性。为此,我们定义了一种新的更新方案,在最允许的动力学中定位可达性属性。MRBM得到了数学演示的支持,并在玩具模型和两个干细胞分化模型上得到了说明。
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Refining Boolean models with the partial most permissive scheme
Motivation: In systems biology, modelling strategies aim to decode how molecular components interact to generate dynamical behaviour. Boolean modelling is more and more used, but the description of the dynamics from two-levels components may be too limited to capture certain dynamical properties. %However, in Boolean models, the description of the dynamics may be too limited to capture certain dynamical properties. Multivalued logical models can overcome this limitation by allowing more than two levels for each component. However, multivaluing a Boolean model is challenging. Results: We present MRBM, a method for efficiently identifying the components of a Boolean model to be multivalued in order to capture specific fixed-point reachabilities in the asynchronous dynamics. To this goal, we defined a new updating scheme locating reachability properties in the most permissive dynamics. MRBM is supported by mathematical demonstrations and illustrated on a toy model and on two models of stem cell differentiation.
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